R.N.G. Naguib
Papers
4
Total Citations
18
H-Index
3
About
R.N.G. Naguib is a robotics and automation researcher whose work focuses on modular reconfigurable systems, multi-agent cooperation, and embedded computer vision. Their most significant contributions lie in advancing symbiotic robotic models for heavy-task automation, particularly through the analysis of six-wheel modular multi-agent systems for linear traversal missions—a study that has already garnered 7 citations since its 2024 publication. Naguib’s research on load-pushing capacity in individual and cooperative mobile robots (5 citations) provides critical insights into optimizing robot configurations for maximum efficiency in collaborative tasks. Beyond hardware coordination, Naguib has demonstrated technical versatility by implementing the Single Shot Multibox Detector (SSD) algorithm for real-time object detection on resource-constrained platforms like the Raspberry Pi 4 (4 citations), bridging the gap between high-performance AI and edge computing. Their exploration of gesture-based variable speed control using Leap Motion and wireless IoT modules further showcases a commitment to intuitive human-robot interaction. With a growing citation footprint and a focus on practical, deployable solutions, Naguib’s work is shaping the future of cooperative robotics and intelligent automation.
Research Focus
Key Achievements
Top Papers
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